Hand Sanitizer Market During and After Covid-19 Outbreak in India

Authors(2) :-Soumya Bajpai, Sachin Bhoite

The recent pandemic SARS-CoV-2 (COVID-19) has affected lives globally. Medical advisories suggest the use of alcohol based hand- sanitizers to slow down the virus transmission. Hand sanitizers are used to get rid of bacteria quickly. The recommendation for effective sanitization use of hand sanitizer in community settings was developed based on data from number of careful studies and research. Many studies conclude that Hand Sanitizers work well in Medical settings like hospitals, where hands generally come in contact with germs but not heavily soiled or greasy hands. Many studies also conclude that sanitizers with 60-95% of alcohol concentration are more effective at killing germs than those with lesser concentration. Hand Sanitizers with low or no alcohol concentration may not work well for many types of germs and merely reduce the growth of germs rather than killing them. Here we will be study and analyze the use of hand sanitizers after careful study and observations on data before and after Covid-19. The main objective of this paper is to predict the use of hand sanitizer in near future by using linear regression machine learning algorithms based on past values.

Authors and Affiliations

Soumya Bajpai
Student BCA, School of Computer Science, Faculty of Science, MIT-WPU, Pune, Maharashtra, India
Sachin Bhoite
Assistant Professor, School of Computer Science, Faculty of Science, MIT-WPU, Pune, Maharashtra, India

Sanitizer, alcohol concentration, market research, linear regression, market prediction, Machine Learning techniques

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Publication Details

Published in : Volume 8 | Issue 2 | March-April 2021
Date of Publication : 2021-03-13
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 11-16
Manuscript Number : CSEIT21823
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Soumya Bajpai, Sachin Bhoite, "Hand Sanitizer Market During and After Covid-19 Outbreak in India", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 2, pp.11-16, March-April-2021. |          | BibTeX | RIS | CSV

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